the effect of perioperative results on mortality in coronary artery bypass surgery

Conditions: Cardiovascular Diseases; Cardiovascular Complication; Anesthesia

Summary: coronary artery bypass grafting (cabg) is one of the most common heart surgeries. most patients are elderly with comorbidities that affect morbidity and mortality rates. even in developed countries mortality rate is 1.9-5.3%. determination of perioperative risk factors and creating protocols to take precautions accordingly may reduce mortality in patients. in cabg patients, due to the surgical burden combined with existing comorbidities, it is important for physicians to evaluate the risk status and predict the mortality rates. for this purpose, various scoring systems have been developed. fuzzy logic method allows partially membership, so that a glass that is neither full nor empty can be numerically expressed as being partially full but also partially empty. this feature is similar to the reasoning structure of the human brain that uses linguistic tools. in this way, in cases where there is no precise mathematical model and where the existence of imprecise and uncertain information is natural, such as medical applications, in order to solve the problem, fuzzy easily allows linguistic expressions containing the knowledge, experience and intuition of expert to transforme into the model created for the solution. in decision making process, fuzzy logic provides ability to use linguistic expressions, including experts' intuition. thus, decisions can be made even with approximate data and uncertainty. for this reason, fuzzy logic is used in a wide range of research from engineering to medicine. the records of patients who underwent cabg surgery in istanbul university-cerrahpaşa cardiology institute between january 1, 2020 and july 31, 2024 will be examined. preoperative major risk factors diabetes, pulmonary, neurological, kidney and liver disease with preoperative minor risk factors age, weight and smoking will be recorded. perioperative risk factors; duration of artificial circulation, number of vessels bypassed, and number of blood products used will be recorded. our primary aim is to create a fuzzy logic-based perioperative risk classification model to identify high-risk patients in cabg surgery. secondly we aimed to investigate the effect of perioperative risk factors on postoperative complications

coronary artery bypass grafting (cabg) is one of the most common heart surgeries. most patients are elderly with comorbidities such as diabetes mellitus and renal diseases. tehese risk factors affect morbidity and mortality rates. even in developed countries mortality rate in cabg patients is between 1.9-5.3%. identifying perioperative risk factors and taking precautions by creating protocols can decrease mortality in patients. experienced surgical and anesthesia teams, evidence-based practices, and advances in pharmacology and technology can increase survival. risk assessment is important in determining the treatment plans of patients who will be operated on, providing patient education for the postoperative period, providing insight into prognosis, and determining health care quality standards. in cabg patients, due to the surgical burden combined with existing comorbidities, it is important for physicians to evaluate the risk status and predict the mortality rates. for this purpose low and high risk studies have been conducted and various scoring systems have been developed. european system for cardiac operative risk evaluation-ii (euroscore-ii) is a scoring system that was created specifically for cardiac surgery patients and is widely used all over the world, predicting mortality through preoperative evaluation. euroscore-ii scoring may be low in older patients (over 70 years of age). a scoring system with higher predictive power is aimed by making modifications to euroscore-ii or comparisons with other scoring systems. in 1965, zadeh first introduced fuzzy, which is the basis of the fuzzy logic procedure fuzzy logic method allows partially membership, so that a glass that is neither full nor empty can be numerically expressed as being partially full but also partially empty. this feature is similar to the reasoning structure of the human brain that uses linguistic tools. in this way, in cases where there is no precise mathematical model and where the existence of imprecise and uncertain information is natural, such as medical applications, in order to solve the problem, fuzzy easily allows linguistic expressions containing the knowledge, experience and intuition of expert to transforme into the model created for the solution. in decision making process, fuzzy logic provides ability to use linguistic expressions, including experts' intuition. thus, decisions can be made even with approximate data and uncertainty. for this reason, fuzzy logic is used in a wide range of research from engineering to medicine. the records of patients who underwent isolated cabg surgery in istanbul university-cerrahpaşa cardiology institute between january 1, 2020 and july 31, 2024 will be included. diabetes mellitus, pulmonary, neurological, kidney and liver disease will be recorded as preoperative major risk factors. age, weight and smoking will be recorded as preoperative minor risk factors. duration of artificial circulation, number of vessels bypassed, and number of blood products used will be recorded as perioperative risk factors. the effect of preoperative risk factors on mortality has been investigated in many studies. our primary aim is to create a fuzzy logic-based perioperative risk classification model to identify high-risk patients in isolated cabg surgery.

Eligibility criteria:
inclusion criteria: * all isolated coronary artery bypass surgery between january 1, 2020 and july 31, 2024 at iuc cardiology institute hospital exclusion criteria: * all surgical procedures other than isolated coronary artery bypass surgery and patients under the age of 18 were excluded

Keywords: fuzzy logic mortality coronary artery surgery risk assessment risk scoring system complications